This article explores the change in the value paradigm of big data.

hello!

Today, we will learn about the change in the value paradigm of big data.

In the past, data was primarily seen as a cost and burden.

It was expensive for companies to collect and store data, and there were limits to realizing the value of data.

However, with the advent of big data, the value paradigm of data has changed.

Change in the value paradigm of big data

New perception of data

In the past, data was thought to have no deterministic or predictive value.

However, big data enables new insights and predictions and is recognized as an important asset that can have a significant impact on corporate strategy and decision-making.

Innovation in business model

With the advent of big data, existing business models are undergoing repeated innovation.

Data-driven business models are emerging, and companies are leveraging data to create new value.

Customer-centered approach

Big data provides companies with the opportunity to better understand and predict their customers.

Customer-centered, data-based strategies are being emphasized and are being used to provide personalized services by identifying customer needs and behavior through data.

Rapid decision-making and innovation

Big data provides companies with the opportunity to respond to rapidly changing market environments and make decisions quickly.

Big data analysis is being used to innovate existing ways of thinking and discover new ideas.

Conclusion

As mentioned above, these changes are greatly improving the impact of data on a company’s competitiveness and performance, and the value paradigm of big data is changing from considering data as a cost to recognizing data as a valuable asset.

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